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Social Finance, LLC seeks Staff Data Scientist in San Francisco, CA:
Job Duties: Model development and performance monitoring supporting data driven decision making. Develop loss forecasting across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. Use empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses. Collaborate with the Business Unit, Finance, Accounting, Credit Fraud Risk groups. Develop better data driven modeling solutions. Aggregate and synthesize datasets from multiple data environments. Analyze complex datasets to understand the performance and drivers for losses across various products. Investigate external credit data to identify trends in the market and industry. Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.
Requirements: Master’s degree in Statistics, Data Science or related quantitative discipline and two (2) years in the job offered or in any occupation in related field.
Special Skill Requirements: (1.) data analytics and modeling using Python and machine learning econometrics modeling, survival modeling, state transition, and Markov Chain; (2.) linear regression, logistic regression, decision trees, and gradient boosting; (3.) developing and productionizing models in AWS; (4.) SQL for large scale data extraction, transformation, and analysis; (5.) Microsoft Office applications, including Excel, PowerPoint, and Word; (6.) developing and building loss forecasting models; (7.) credit risk modeling, including probability of default (PD), loss forecasting, and delinquency analysis; (8.) experience working with large datasets in cloud-based data environments or modern data warehouses; and Tableau. Any suitable combination of education, training and/or experience is acceptable. Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.
Salary: $250,080.00 - $275,088.00 per year.
Submit resume with references using the apply button on this posting or by email to: Req.# 1014.25.2 at: ATTN: HR, [email protected].
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